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Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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donnemartin / data-science-ipython-notebooks

Star 24.3k

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Oct 12, 2022
  • Python
annotated_deep_learning_paper_implementations

labmlai / annotated_deep_learning_paper_implementations

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Star 14.9k

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks attention deep-learning-tutorial optimizers
  • Updated Nov 13, 2022
  • Jupyter Notebook

EthicalML / awesome-production-machine-learning

Star 12.7k

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
  • Updated Nov 23, 2022
nni

microsoft / nni

Star 12.3k

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated Nov 30, 2022
  • Python
albumentations

albumentations-team / albumentations

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Star 11.2k

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

python machine-learning deep-learning detection image-processing image-classification segmentation object-detection image-segmentation image-augmentation augmentation fast-augmentations
  • Updated Nov 24, 2022
  • Python

kmario23 / deep-learning-drizzle

Star 10.7k

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks
  • Updated Apr 10, 2022
  • HTML
transferlearning

jindongwang / transferlearning

Star 10.6k

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption
  • Updated Nov 25, 2022
  • Python

microsoft / qlib

Star 10k

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

python platform finance machine-learning research deep-learning paper fintech quant quantitative-finance investment stock-data algorithmic-trading research-paper quantitative-trading quant-dataset quant-models auto-quant
  • Updated Nov 29, 2022
  • Python
cvat

opencv / cvat

Star 8.4k

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

computer-vision deep-learning image-annotation annotation tensorflow video-annotation annotations pytorch dataset imagenet image-classification object-detection labeling semantic-segmentation annotation-tool boundingbox image-labeling labeling-tool computer-vision-annotation image-labelling-tool
  • Updated Nov 29, 2022
  • Open Policy Agent

jacobgil / pytorch-grad-cam

Star 6.4k

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers
  • Updated Nov 18, 2022
  • Python

h2oai / h2o-3

Star 6.1k

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl
  • Updated Nov 29, 2022
  • Jupyter Notebook

tangyudi / Ai-Learn

Star 5.6k

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

python nlp data-science machine-learning data-mining algorithm caffe deep-learning tensorflow numpy cv keras mathematics pandas pytorch seaborn artificial-intelligence data-analysis matplotlib tensorflow2
  • Updated Jun 23, 2022

BoltzmannEntropy / interviews.ai

Star 4.1k

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax
  • Updated Jan 21, 2022

Tencent / TNN

Star 3.8k

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

ocr deep-learning tensorflow inference pytorch tengine face-detection tensorrt mnn coreml ncnn openvino hairsegmentaion
  • Updated Nov 25, 2022
  • C++

NELSONZHAO / zhihu

Star 3.4k

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

natural-language-processing deep-learning machine-translation recurrent-neural-networks gan style-transfer autoencoder convolutional-neural-networks tensorflow-examples
  • Updated Jun 14, 2021
  • Jupyter Notebook

TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Star 3.2k

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

python aws machine-learning lua deep-learning neural-network tensorflow scikit-learn keras ipython-notebook torch pandas pytorch kaggle artificial-intelligence matplotlib tensorflow-tutorials convolutional-neural-networks python-data capsule-network
  • Updated Nov 24, 2022
  • Python

louisfb01 / start-machine-learning

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Star 3.2k

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

cheat-sheets learning data-science machine-learning youtube tutorial practice course deep-learning linear-algebra learning-python coursera tutorials artificial-intelligence learn-to-code neural-networks youtube-playlist coursera-machine-learning read-articles probability-statistics
  • Updated Nov 18, 2022

weiaicunzai / pytorch-cifar100

Star 3.1k

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

deep-learning pytorch image-classification densenet resnet squeezenet inceptionv3 googlenet resnext wideresnet cifar100 mobilenet inceptionv4 shufflenet xception nasnet inception-resnet-v2
  • Updated Nov 6, 2022
  • Python

ZhaoJ9014 / face.evoLVe

Star 3k

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
  • Updated May 30, 2022
  • Python

ikostrikov / pytorch-a2c-ppo-acktr-gail

Star 3k

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

reinforcement-learning deep-learning deep-reinforcement-learning pytorch atari hessian second-order continuous-control actor-critic ale mujoco proximal-policy-optimization ppo advantage-actor-critic a2c acktr natural-gradients roboschool kfac kronecker-factored-approximation
  • Updated May 29, 2022
  • Python

timeseriesAI / tsai

Star 2.7k

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

python machine-learning timeseries deep-learning time-series regression cnn pytorch rocket transformer forecasting classification rnn sequential fastai time-series-analysis time-series-classification self-supervised state-of-the-art inceptiontime
  • Updated Nov 23, 2022
  • Jupyter Notebook

jeeliz / jeelizFaceFilter

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Star 2.3k

Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).

javascript lightweight tracking webgl threejs library snapchat web deep-learning camera augmented-reality detection faceswap face face-detection 3d face-tracking multiple-faces face-filters face-detect
  • Updated Oct 6, 2022
  • JavaScript

FedML-AI / FedML

Star 2.3k

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

security machine-learning marketplace privacy deep-learning blockchain inference-engine distributed-training federated-learning mlops edge-ai on-device-training
  • Updated Nov 29, 2022
  • Python

weslynn / AlphaTree-graphic-deep-neural-network

Star 2.3k

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

machine-learning deep-learning neural-network image-classification
  • Updated Sep 30, 2022
pytorch-kaldi

mravanelli / pytorch-kaldi

Star 2.2k

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm
  • Updated Mar 14, 2022
  • Python

louisfb01 / Best_AI_paper_2020

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Star 2.2k

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

list machine-learning deep-neural-networks ai computer-vision deep-learning paper artificial-intelligence machinelearning deeplearning papers sota state-of-art state-of-the-art artificialintelligence 2020 state-of-art-general-segmentation state-of-the-art-models sota-technique paper-references
  • Updated Jan 28, 2022

google-research-datasets / Objectron

Star 2k

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

python machine-learning ai computer-vision deep-learning neural-network tensorflow augmented-reality pytorch dataset 3d 3d-reconstruction 3d-vision
  • Updated Jul 20, 2022
  • Jupyter Notebook

dipanjanS / practical-machine-learning-with-python

Star 2k

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python machine-learning natural-language-processing computer-vision deep-learning jupyter notebook clustering tensorflow scikit-learn keras jupyter-notebook pandas spacy nltk classification convolutional-neural-networks prophet statsmodels time-series-analysis
  • Updated Oct 1, 2020
  • Jupyter Notebook

Alro10 / deep-learning-time-series

Star 1.9k

List of papers, code and experiments using deep learning for time series forecasting

deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions
  • Updated Aug 24, 2022
  • Jupyter Notebook

Trusted-AI / AIF360

Star 1.9k

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

python machine-learning r ai deep-learning artificial-intelligence bias fairness bias-finder ibm-research discrimination bias-correction ibm-research-ai bias-reduction fairness-testing bias-detection codait fairness-awareness-model fairness-ai trusted-ai
  • Updated Nov 19, 2022
  • Python
pytorch_geometric_temporal

benedekrozemberczki / pytorch_geometric_temporal

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Star 1.8k

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs
  • Updated Oct 25, 2022
  • Python
pytorch-GAT

gordicaleksa / pytorch-GAT

Star 1.8k

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

python deep-learning jupyter pytorch attention attention-mechanism graph-attention-networks self-attention pytorch-implementation gat graph-attention-network pytorch-gat gat-tutorial
  • Updated Nov 17, 2022
  • Jupyter Notebook

NVIDIA / MinkowskiEngine

Star 1.8k

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

computer-vision deep-learning neural-network cuda high-dimensional-data pytorch convolutional-neural-networks auto-differentiation semantic-segmentation space-time spatio-temporal-analysis 3d-vision 3d-convolutional-network sparse-tensors sparse-convolution high-dimensional-inference trilateral-filter 4d-convolutional-neural-network minkowski-engine sparse-tensor-network
  • Updated Nov 24, 2022
  • Python

Charmve / computer-vision-in-action

Star 1.8k

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

machine-learning tutorial books computer-vision deep-learning neural-network notebook jupyter-notebook handbook pytorch transformer ipynb deep-learning-tutorial computer-vision-algorithms colab-notebook in-action charmve
  • Updated Nov 21, 2022
  • Jupyter Notebook

NLP-LOVE / Introduction-NLP

Star 1.8k

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

nlp ai deep-learning mechine-learing
  • Updated Jan 5, 2022
  • Python

curiousily / Getting-Things-Done-with-Pytorch

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Star 1.8k

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection
  • Updated Jun 14, 2021
  • Jupyter Notebook

UniversalDataTool / universal-data-tool

Star 1.7k

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

machine-learning csv computer-vision deep-learning image-annotation desktop dataset named-entity-recognition classification labeling image-segmentation hacktoberfest semantic-segmentation annotation-tool text-annotation labeling-tool entity-recognition annotate-images image-labeling-tool text-labeling
  • Updated May 3, 2022
  • JavaScript

teddylee777 / machine-learning

Star 1.7k

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

python machine-learning natural-language-processing lectures udacity deep-learning neural-network tensorflow jupyter-notebook pandas python3 pytorch gan neural-networks tensorflow-tutorials tensorflow-examples pandas-tutorial pytorch-tutorial machine-learning-study tensorflow2
  • Updated Nov 21, 2022
  • Jupyter Notebook

kk7nc / Text_Classification

Star 1.6k

Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network
  • Updated Nov 14, 2022
  • Python

amanchadha / coursera-deep-learning-specialization

Star 1.6k

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
  • Updated Aug 6, 2022
  • Jupyter Notebook
pennylane

PennyLaneAI / pennylane

Star 1.6k

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

python machine-learning deep-learning neural-network qml tensorflow optimization quantum differentiable-computing automatic-differentiation pytorch autograd quantum-computing quantum-chemistry hacktoberfest quantum-machine-learning qiskit jax cirq strawberryfields
  • Updated Nov 30, 2022
  • Python

JavierAntoran / Bayesian-Neural-Networks

Star 1.4k

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

deep-learning reproducible-research regression pytorch uncertainty classification uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation mc-dropout bayes-by-backprop out-of-distribution-detection sgld
  • Updated May 1, 2020
  • Jupyter Notebook

NifTK / NiftyNet

Star 1.3k

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

python deep-neural-networks deep-learning neural-network tensorflow ml python3 distributed medical-imaging pip gan autoencoder segmentation convolutional-neural-networks python2 medical-image-computing medical-images medical-image-processing image-guided-therapy medical-image-analysis
  • Updated Apr 21, 2020
  • Python
AdvBox

advboxes / AdvBox

Star 1.3k

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

security machine-learning deep-learning paddlepaddle adversarial-example adversarial-examples onnx fgsm adversarial-attacks deepfool graphpipe
  • Updated Nov 22, 2022
  • Jupyter Notebook
nannyml

NannyML / nannyml

Star 1.3k

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

visualization python data-science machine-learning monitoring deep-learning jupyter-notebook ml data-analysis machinelearning performance-monitoring mlops model-monitoring data-drift
  • Updated Nov 30, 2022
  • Python
awesome-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

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Star 1.2k

A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer
  • Updated Oct 30, 2022
  • Python

huoyijie / AdvancedEAST

Star 1.2k

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

python machine-learning algorithm computer-vision deep-learning tensorflow keras scene tianchi east bellow tian-chi icpr text-detect advancedeast advancedeast-network-arch text-predictions
  • Updated Sep 9, 2022
  • Python

ahmetozlu / tensorflow_object_counting_api

Star 1.2k

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

opencv data-science machine-learning deep-neural-networks computer-vision deep-learning tensorflow image-processing object-detection vehicle-counting object-detection-pipelines shelf-navigation tensorflow-object-detection-api object-detection-label tensorflow-api object-detection-api object-counting object-counting-api pedestrian-counting shelf-management
  • Updated Sep 12, 2021
  • Python

MIC-DKFZ / medicaldetectiontoolkit

Star 1.2k

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

deep-neural-networks deep-learning detection medical-imaging segmentation object-detection medical-image-computing semantic-segmentation 3d-models medical-image-processing mask-rcnn u-net medical-image-analysis pytorch-cnn retina-net 3d-object-detection pytorch-implementation pytorch-deeplearning retina-unet 3d-mask-rcnn
  • Updated Nov 22, 2022
  • Python

neomatrix369 / awesome-ai-ml-dl

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Star 1.1k

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

nlp docker data machine-learning natural-language-processing ai deep-learning time-series algorithms mathematica ml artificial-intelligence neural-networks data-generation graalvm graal intelligent-systems dl machine-intelligence cloud-devops
  • Updated Aug 18, 2022
  • Jupyter Notebook

benthecoder / yt-channels-DS-AI-ML-CS

Star 1.1k

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

python data-science data machine-learning youtube awesome statistics web-development programming ai deep-learning math ml resources artificial-intelligence data-engineering coding data-analysis software-engineering awesome-list
  • Updated Sep 23, 2022

charlesXu86 / Chatbot_CN

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基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

reinforcement-learning deep-learning sentiment-analysis text-classification tensorflow nlu knowledge-graph recommendation nlg ner attention-mechanism ir dialogue-systems slot-filling oriented-dialogs intent-detection django-restful chatbot-cn tenserflow-serving text-correct
  • Updated Jun 13, 2021

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

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Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

machine-learning deep-learning random-forest optimization svm genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters knn bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo python-examples python-samples hyperband
  • Updated Sep 22, 2022
  • Jupyter Notebook
refinery

code-kern-ai / refinery

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The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

python nlp data-science machine-learning natural-language-processing deep-learning text-classification annotations transformers artificial-intelligence spacy supervised-learning labeling active-learning text-annotation human-in-the-loop labeling-tool data-labeling neural-search data-centric-ai
  • Updated Nov 21, 2022
  • Python

PaddlePaddle / FastDeploy

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⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

android deep-learning deployment intel rockchip object-detection jetson tensorrt serving openvino onnxruntime graphcore yolov5 kunlun uie picodet
  • Updated Nov 30, 2022
  • C++

GMvandeVen / continual-learning

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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

deep-learning artificial-neural-networks replay incremental-learning variational-autoencoder generative-models lifelong-learning distillation continual-learning elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory class-incremental-learning task-incremental-learning domain-incremental-learning
  • Updated Nov 28, 2022
  • Python

KomputeProject / kompute

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General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

python machine-learning deep-learning cpp vulkan gpgpu gpu-computing vulkan-demos deep-learning-gpu vulkan-compute vulkan-tutorial vulkan-example vulkan-compute-tutorial vulkan-compute-framework vulkan-compute-example machine-learning-gpu
  • Updated Nov 27, 2022
  • C++

jiachenli94 / Awesome-Interaction-Aware-Trajectory-Prediction

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A selection of state-of-the-art research materials on trajectory prediction

machine-learning computer-vision deep-learning paper traffic artificial-intelligence trajectory-generation social-interactions multiagent-systems behavior-analysis autonomous-driving autonomous-vehicles trajectory-prediction multiagent-learning human-trajectory-prediction motion-prediction behavior-prediction path-predictions vehicle-trajectory pedestrian-trajectories
  • Updated Oct 13, 2022
  • TeX

letianzj / QuantResearch

Star 997

Quantitative analysis, strategies and backtests

data-science machine-learning reinforcement-learning deep-learning algotrading trading-strategies trading-algorithms quantitative-finance financial-analysis algorithmic-trading backtesting-trading-strategies asset-allocation quantitative-trading pairs-trading risk-management asset-management statistical-arbitrage portfolio-management derivatives-pricing backtests
  • Updated Jul 29, 2022
  • Jupyter Notebook

MaurizioFD / RecSys2019_DeepLearning_Evaluation

Star 922

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet
  • Updated Nov 21, 2022
  • Python

guyulongcs / Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Star 909

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

search search-engine reinforcement-learning deep-learning recommender-system advertising ctr cvr
  • Updated Aug 6, 2022
  • Python
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